Hyper-laplacian regularized multi-view subspace clustering with a new weighted tensor nuclear norm

HIGHLIGHTS

• who: . and colleagues from the Institut Minzu University, Lanzhou, Gansu, China have published the paper: Hyper-laplacian Regularized Multi-view Subspace Clustering with a New Weighted Tensor Nuclear Norm, in the Journal: (JOURNAL)
• what: To solve the above problems, in this paper, the authors propose hyper-Laplacian regularized multi-view subspace clustering with a new weighted tensor nuclear norm (WHLRMSC) method. To visually display the clustering effect, the authors implement some visualizations of multi-view clustering methods. The authors compare the proposed WHLR-MSC method with ten state-of-the-art multi-view clustering methods . . .
  

   

  

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